Accuracy of Guided Implant Surgery in the Edentulous Jaw Using Desktop 3D-Printed Mucosal Supported Guides

Purpose: The aim of this in vitro study is to evaluate the accuracy of implant position using mucosal supported surgical guides, produced by a desktop 3D printer. Methods: Ninety implants (Bone Level Roxolid, 4.1 mm × 10 mm, Straumann, Villerat, Switzerland) were placed in fifteen mandibular casts (Bonemodels, Castellón de la Plana, Spain). A mucosa-supported guide was designed and printed for each of the fifteen casts. After placement of the implants, the location was assessed by scanning the cast and scan bodies with an intra-oral scanner (Primescan®, Dentsply Sirona, York, PA, USA). Two comparisons were performed: one with the mucosa as a reference, and one where only the implants were aligned. Angular, coronal and apical deviations were measured. Results: The mean implant angular deviation for tissue and implant alignment were 3.25° (SD 1.69°) and 2.39° (SD 1.42°) respectively, the coronal deviation 0.82 mm (SD 0.43 mm) and 0.45 mm (SD 0.31 mm) and the apical deviation 0.99 mm (SD 0.45 mm) and 0.71 mm (SD 0.43 mm). All three variables were significantly different between the tissue and implant alignment (p < 0.001). Conclusion: Based on the results of this study, we conclude that guided implant surgery using desktop 3D printed mucosa-supported guides has a clinically acceptable level of accuracy. The resilience of the mucosa has a negative effect on the guide stability and increases the deviation in implant position.

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Accuracy of a workflow using sleeveless 3D printed surgical guides made from a cost‐effective and biodegradable material: An in vitro study

Clinical Oral Implants Research ◽

10.1111/clr.474_13509 ◽

2019 ◽

Vol 30 (S19) ◽

pp. 519-519 ◽

Cited By ~ 1

Author(s):

Valentin Hromadnik ◽

Stefano Pieralli ◽

Benedikt Spies ◽

Florian Beuer ◽

Christian Wesemann

Keyword(s):

In Vitro Study ◽

Cost Effective ◽

Vitro Study ◽

Biodegradable Material ◽

Surgical Guides ◽

3D Printed

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Accuracy and precision of 3D-printed implant surgical guides with different implant systems: An in vitro study

Journal of Prosthetic Dentistry ◽

10.1016/j.prosdent.2019.05.027 ◽

2020 ◽

Vol 123 (6) ◽

pp. 821-828 ◽

Cited By ~ 8

Author(s):

Matthew Yeung ◽

Aous Abdulmajeed ◽

Caroline K. Carrico ◽

George R. Deeb ◽

Sompop Bencharit

Keyword(s):

In Vitro Study ◽

Vitro Study ◽

Surgical Guides ◽

Accuracy And Precision ◽

3D Printed

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Consumer vs. High-End 3D Printers for Guided Implant Surgery—An In Vitro Accuracy Assessment Study of Different 3D Printing Technologies

Journal of Clinical Medicine ◽

10.3390/jcm10214894 ◽

2021 ◽

Vol 10 (21) ◽

pp. 4894

Author(s):

Lukas Wegmüller ◽

Florian Halbeisen ◽

Neha Sharma ◽

Sebastian Kühl ◽

Florian M. Thieringer

Keyword(s):

3D Printing ◽

Accuracy Assessment ◽

Subjective Assessment ◽

Fused Filament Fabrication ◽

Digital Light Processing ◽

Implant Surgery ◽

Surgical Guides ◽

3D Printers ◽

3D Printed

This study evaluates the accuracy of drill guides fabricated in medical-grade, biocompatible materials for static, computer-aided implant surgery (sCAIS). The virtually planned drill guides of ten completed patient cases were printed (n = 40) using professional (Material Jetting (MJ)) and consumer-level three-dimensional (3D) printing technologies, namely, Stereolithography (SLA), Fused Filament Fabrication (FFF), and Digital Light Processing (DLP). After printing and post-processing, the drill guides were digitized using an optical scanner. Subsequently, the drill guide’s original (reference) data and the surface scans of the digitized 3D-printed drill guide were superimposed to evaluate their incongruencies. The accuracy of the 3D-printed drill guides was calculated by determining the root mean square (RMS) values. Additionally, cast models of the planned cases were used to check that the drill guides fitted manually. The RMS (mean ± SD) values for the accuracy of 3D-printed drill guides were—MJ (0.09 ± 0.01 mm), SLA (0.12 ± 0.02 mm), FFF (0.18 ± 0.04 mm), and DLP (0.25 ± 0.05 mm). Upon a subjective assessment, all drill guides could be mounted on the cast models without hindrance. The results revealed statistically significant differences (p < 0.01) in all except the MJ- and SLA-printed drill guides. Although the measured differences in accuracy were statistically significant, the deviations were negligible from a clinical point of view. Within the limits of this study, we conclude that consumer-level 3D printers can produce surgical guides with a similar accuracy to a high-end, professional 3D printer with reduced costs.

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The Effect of Surgical Guides on Heat Generation During Guided Implant Surgery: An in Vitro Study

10.33915/etd.3619 ◽

2013 ◽

Author(s):

Safa Tahmasebi

Keyword(s):

Heat Generation ◽

In Vitro Study ◽

Vitro Study ◽

Implant Surgery ◽

Surgical Guides

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Accuracy of Implant Position Reproduction According to Exposed Length of the Scan Body during Optical Scanning: An In Vitro Study

Applied Sciences ◽

10.3390/app11041689 ◽

2021 ◽

Vol 11 (4) ◽

pp. 1689

Author(s):

Na-Eun Nam ◽

Seung-Ho Shin ◽

Jung-Hwa Lim ◽

Bora Lee ◽

June-Sung Shim ◽

...

Keyword(s):

In Vitro Study ◽

Three Dimensions ◽

Lateral Incisor ◽

Implant Position ◽

Optical Scanner ◽

Implant Placement ◽

Bone Level ◽

Scan Data ◽

Mean Square Errors

Accuracy of implant position reproduction according to various types of scanners, implant placement depths, and tooth positions are unknown. The purpose of this study was to compare the accuracy of implant position reproduction for differences in the exposed length of the implant scan body according to scanner type and tooth position. Implants were placed at the positions of the lateral incisor, first premolar, and first molar in the study model at the bone level and submerged 1.5 mm, 3.0 mm, 4.5 mm, and 6.0 mm. The completed models were scanned with one type of tabletop scanner and three types of intraoral scanners (TRIOS 3, i500, and CS3600). A matching process was performed for all scan data to superimpose abutment library data on the scan body, and the root mean square errors were analyzed in three dimensions to evaluate the position reproducibility of the replaced abutment library. In the trueness analysis, the error increased rapidly for an implant placement depth of 4.5 mm, and was largest for a submersion of 6.0 mm. The precision analysis confirmed that the error increased for depths of at least 3.0 mm. The analysis by position identified that the accuracy was lowest for an implant placed at the position of the lateral incisor. These findings indicate that special care is required when making an impression of a deep implant with an optical scanner.

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Transfer Learning via Artificial Intelligence for Guiding Implant Placement in the Posterior Mandible: an in vitro Study

10.21203/rs.3.rs-986672/v1 ◽

2021 ◽

Author(s):

Yun Liu ◽

Zhi-cong Chen ◽

Chun-ho Chu ◽

Fei-Long Deng

Keyword(s):

Artificial Intelligence ◽

Deep Learning ◽

Learning Algorithm ◽

In Vitro Study ◽

Angular Deviation ◽

Single Shot ◽

Implant Position ◽

Deep Learning Algorithm ◽

Group A

Abstract Background: To explore the capacity of a single shot multibox detector (SSD) and Voxel-to-voxel prediction network for pose estimation (V2V-PoseNet) based artificial intelligence (AI) system in automatically designing implant plan. Methods: 2500 and 67 cases were used to develop and pre-train the AI system. After that, 12 patients who missed the mandibular left first molars were selected to test the capacity of the AI in automatically designing implant plan. There were three algorithms-based implant positions. They are Group A, B and C (8, 9 and 10 points dependent implant position, respectively). The AI system was then used to detect the characteristic annotators and determine the implant position. For every group, the actual implant position was compared with the algorithm-determined ideal position. And global, angular, depth and lateral deviation were calculate. One-way ANOVA followed by Tukey’s test was performed for statistical comparisons. The significance value was set at P< 0.05. Results: Group C represented the least coronal (0.6638±0.2651, range: 0.2060 to 1.109 mm) and apical (1.157±0.3350, range: 0.5840 to 1.654 mm) deviation, the same trend was observed in the angular deviation (5.307 ±2.891°, range: 2.049 to 10.90°), and the results are similar with the traditional statistic guide.Conclusion: It can be concluded that the AI system has the capacity of deep learning. And as more characteristic annotators be involved in the algorithm, the AI system can figure out the anatomy of the object region better, then generate the ideal implant plan via deep learning algorithm.

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An evaluation of virtually planned and 3D-printed stereolithographic surgical guides from CBCT and digital scans: An in vitro study

Journal of Prosthetic Dentistry ◽

10.1016/j.prosdent.2020.12.035 ◽

2021 ◽

Author(s):

Naisargi P. Shah ◽

Anshul Khanna ◽

Ashutosh R. Pai ◽

Vidhi H. Sheth ◽

Sayali R. Raut

Keyword(s):

In Vitro Study ◽

Vitro Study ◽

Surgical Guides ◽

3D Printed

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Accuracy of a Template-Guided Implant Surgery System with a CAD/CAM-Based Measurement Method: An In Vitro Study

The International Journal of Oral & Maxillofacial Implants ◽

10.11607/jomi.5799 ◽

2018 ◽

Vol 33 (2) ◽

pp. 328-334 ◽

Cited By ~ 4

Author(s):

Jan Brandt ◽

Martin Brenner ◽

Hans-Christoph Lauer ◽

Silvia Brandt

Keyword(s):

Measurement Method ◽

In Vitro Study ◽

Vitro Study ◽

Implant Surgery ◽

Cad Cam

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Effects of Groove Sealing of the Posterior Occlusal Surface and Offset of the Internal Surface on the Internal Fit and Accuracy of Implant Placements Using 3D-Printed Surgical Guides: An In Vitro Study

Polymers ◽

10.3390/polym13081236 ◽

2021 ◽

Vol 13 (8) ◽

pp. 1236

Author(s):

Jung-Hwa Lim ◽

Enkhjargal Bayarsaikhan ◽

Seung-Ho Shin ◽

Na-Eun Nam ◽

June-Sung Shim ◽

...

Keyword(s):

In Vitro Study ◽

Internal Surface ◽

Three Dimensions ◽

Surface Shape ◽

Digital Data ◽

Surgical Guide ◽

Implant Placement ◽

Surgical Guides ◽

Internal Fit

This study evaluated the internal fit and the accuracy of the implant placement position in order to determine how the surface shape of the tooth and the offset influence the accuracy of the surgical guide. The acquired digital data were analyzed in three dimensions using 3D inspection software. The obtained results confirmed that the internal fit was better in the groove sealing (GS) group (164.45 ± 28.34 μm) than the original shape (OS) group (204.07 ± 44.60 μm) (p < 0.001), and for an offset of 100 μm (157.50 ± 17.26 μm) than for offsets of 30 μm (206.48 ± 39.12 μm) and 60 μm (188.82 ± 48.77 μm) (p < 0.001). The accuracy of implant placement was better in the GS than OS group in terms of the entry (OS, 0.229 ± 0.092 mm; GS, 0.169 ± 0.061 mm; p < 0.001), apex (OS, 0.324 ± 0.149 mm; GS, 0.230 ± 0.124 mm; p < 0.001), and depth (OS, 0.041 ± 0.027 mm; GS, 0.025 ± 0.022 mm; p < 0.001). In addition, the entries (30 μm, 0.215 ± 0.044 mm; 60 μm, 0.172 ± 0.049 mm; 100 μm, 0.119 ± 0.050 mm; p < 0.001) were only affected by the amount of offset. These findings indicate that the accuracy of a surgical guide can be improved by directly sealing the groove of the tooth before manufacturing the surgical guide or setting the offset during the design process.

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